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In this paper, we investigate different power allocation optimization problems with interferences for distributed antenna systems (DAS) with and without D2D communication, respectively. The first objective problem is maximizing spectral efficiency (SE) of the DAS with D2D communication under the constraints of the minimum SE requirements of user equipment (UE) and D2D pair, maximum transmit power of each remote access unit (RAU) and maximum transmit power of D2D transmitter. We transform this non-convex objective function into a difference of convex functions (D.C.) then using the concave-convex procedure (CCCP) algorithm to solve the optimization problem. The second objective is maximizing energy efficiency (EE) of the DAS with D2D communication under the same constraints. We first exploit fractional programming theory to obtain the equivalent objective function of the second problem with subtract form, and then transform it into a D.C. problem and use CCCP algorithm to obtain the optimal power allocation. In each part, we summarize the corresponding optimal power allocation algorithms and also use similar method to obtain optimal solutions of the same optimization problems in DAS. Simulation results are provided to demonstrate the effectiveness of the designed power allocation algorithms and illustrate the SE and EE of the DAS by using D2D communication are much better than DAS without D2D communication.

- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.5 pp.1061-1068

- Publication Date
- 2019/05/01

- Publicized
- 2018/11/21

- Online ISSN
- 1745-1345

- DOI
- 10.1587/transcom.2018EBP3005

- Type of Manuscript
- PAPER

- Category
- Terrestrial Wireless Communication/Broadcasting Technologies

Xingquan LI

Shenzhen University

Chunlong HE

Shenzhen University

Jihong ZHANG

Shenzhen University

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Xingquan LI, Chunlong HE, Jihong ZHANG, "Optimized Power Allocation Scheme for Distributed Antenna Systems with D2D Communication" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 5, pp. 1061-1068, May 2019, doi: 10.1587/transcom.2018EBP3005.

Abstract: In this paper, we investigate different power allocation optimization problems with interferences for distributed antenna systems (DAS) with and without D2D communication, respectively. The first objective problem is maximizing spectral efficiency (SE) of the DAS with D2D communication under the constraints of the minimum SE requirements of user equipment (UE) and D2D pair, maximum transmit power of each remote access unit (RAU) and maximum transmit power of D2D transmitter. We transform this non-convex objective function into a difference of convex functions (D.C.) then using the concave-convex procedure (CCCP) algorithm to solve the optimization problem. The second objective is maximizing energy efficiency (EE) of the DAS with D2D communication under the same constraints. We first exploit fractional programming theory to obtain the equivalent objective function of the second problem with subtract form, and then transform it into a D.C. problem and use CCCP algorithm to obtain the optimal power allocation. In each part, we summarize the corresponding optimal power allocation algorithms and also use similar method to obtain optimal solutions of the same optimization problems in DAS. Simulation results are provided to demonstrate the effectiveness of the designed power allocation algorithms and illustrate the SE and EE of the DAS by using D2D communication are much better than DAS without D2D communication.

URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3005/_p

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@ARTICLE{e102-b_5_1061,

author={Xingquan LI, Chunlong HE, Jihong ZHANG, },

journal={IEICE TRANSACTIONS on Communications},

title={Optimized Power Allocation Scheme for Distributed Antenna Systems with D2D Communication},

year={2019},

volume={E102-B},

number={5},

pages={1061-1068},

abstract={In this paper, we investigate different power allocation optimization problems with interferences for distributed antenna systems (DAS) with and without D2D communication, respectively. The first objective problem is maximizing spectral efficiency (SE) of the DAS with D2D communication under the constraints of the minimum SE requirements of user equipment (UE) and D2D pair, maximum transmit power of each remote access unit (RAU) and maximum transmit power of D2D transmitter. We transform this non-convex objective function into a difference of convex functions (D.C.) then using the concave-convex procedure (CCCP) algorithm to solve the optimization problem. The second objective is maximizing energy efficiency (EE) of the DAS with D2D communication under the same constraints. We first exploit fractional programming theory to obtain the equivalent objective function of the second problem with subtract form, and then transform it into a D.C. problem and use CCCP algorithm to obtain the optimal power allocation. In each part, we summarize the corresponding optimal power allocation algorithms and also use similar method to obtain optimal solutions of the same optimization problems in DAS. Simulation results are provided to demonstrate the effectiveness of the designed power allocation algorithms and illustrate the SE and EE of the DAS by using D2D communication are much better than DAS without D2D communication.},

keywords={},

doi={10.1587/transcom.2018EBP3005},

ISSN={1745-1345},

month={May},}

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TY - JOUR

TI - Optimized Power Allocation Scheme for Distributed Antenna Systems with D2D Communication

T2 - IEICE TRANSACTIONS on Communications

SP - 1061

EP - 1068

AU - Xingquan LI

AU - Chunlong HE

AU - Jihong ZHANG

PY - 2019

DO - 10.1587/transcom.2018EBP3005

JO - IEICE TRANSACTIONS on Communications

SN - 1745-1345

VL - E102-B

IS - 5

JA - IEICE TRANSACTIONS on Communications

Y1 - May 2019

AB - In this paper, we investigate different power allocation optimization problems with interferences for distributed antenna systems (DAS) with and without D2D communication, respectively. The first objective problem is maximizing spectral efficiency (SE) of the DAS with D2D communication under the constraints of the minimum SE requirements of user equipment (UE) and D2D pair, maximum transmit power of each remote access unit (RAU) and maximum transmit power of D2D transmitter. We transform this non-convex objective function into a difference of convex functions (D.C.) then using the concave-convex procedure (CCCP) algorithm to solve the optimization problem. The second objective is maximizing energy efficiency (EE) of the DAS with D2D communication under the same constraints. We first exploit fractional programming theory to obtain the equivalent objective function of the second problem with subtract form, and then transform it into a D.C. problem and use CCCP algorithm to obtain the optimal power allocation. In each part, we summarize the corresponding optimal power allocation algorithms and also use similar method to obtain optimal solutions of the same optimization problems in DAS. Simulation results are provided to demonstrate the effectiveness of the designed power allocation algorithms and illustrate the SE and EE of the DAS by using D2D communication are much better than DAS without D2D communication.

ER -